Abstract: A processing unit such as a graphics processing unit (GPU) includes a set of queues that stores command buffers prior to execution in a corresponding plurality of pipelines. The processing unit also implements a kernel mode driver that allocates a first subset of the set of queues to a first application in response to receiving registration requests from the first application. The processing unit further includes a scheduler that schedules command buffers in the first subset of the set of queues for concurrent execution on a first subset of the set of pipelines. In some cases, an interrupt is generated in response to execution of a first command in a first command buffer in the first queue or the second queue. The interrupt includes an address indicating a location of a routine to be executed by a second subset of the plurality of pipelines.

Abstract: Methods and apparatus for split memory allocations in non-kernel space. Many modern networking technologies use asymmetric transmit and/or receive resource. Various aspects described herein split memory resources for transmit and receive, configuring each for their respective hardware optimizations. For example, a receive data paths that support batch processing and packet aggregation may be allocated large memory objects (32 KB) that can route data packets on a per-flow basis. In contrast, transmit data paths that support multiple concurrent network connections may be allocated small memory objects (2 KB) that can route data packets one at a time.

Abstract: Technologies are described for automated payload testing of open data protocol (OData) application programming interfaces (APIs). For example, metadata describing an OData service can be retrieved from the OData service. The OData service can then be tested for one or more entities of the OData service. Testing can be performed by dynamically creating various payloads for testing the entities of the OData service and the OData operations supported by the entities. Results of executing the payloads can be received and evaluated to determine whether a given payload was executed successfully by the OData service. Results of the testing (e.g., indications of success or failure) can be output.

Abstract: A system of hardware and software for identifying website users, recording said users' internet behavior and displaying said users' internet behavior. More specifically, the present invention discloses a system of combining at least five separate hardware units which identify website users who have visited a specific internet site. Said system records and displays said users' internet behavior related to purchasing goods and services using a graphical interface.

Abstract: Systems, method sand computer readable medium are provided for proving real-time Self Optimizing Network (SON) Virtual Network Function (VRF) included as part of the HNG. In one embodiment data from connected devices is forwarded to the HNG; the data is organized into virtualized containers; and the data is processed by agile analytics and results are displayed to a user.

Abstract: A disclosed method for implementing containers in an information handling system generates, with a first non-privileged container, a request that is sent to a RESTful API. Whenever the API identifies a request requiring host access the API launches a second container, which is configured to operate in a privileged execution mode. The second container accesses the host and executes the requested actions. When the request completes, the first container resumes non-privileged execution, thereby confining privileged mode execution to a container that is only active during host interaction. The host access can be access required to: exchange data with the host, query the host for hardware information, and modify host configuration. The host may be implanted within a device featuring an HCI infrastructure. In one configuration, the host resides of one of multiple distinct nodes of an HCI appliance.

Abstract: A system and method of the disclosure relates to structuring at least one resource of an application programming interface (API) for a server. In the method, a plurality of field-level elements may be defined. Each of the plurality of field-level elements may be associated with a respective property. Also, first and second message-level elements may be defined. The first message-level element may be based on a first field-level element of the plurality of field-level elements, and the second message-level element may be based on the first field-level element. The API may be associated with a first resource having properties resolved based on at least the first and second message-level elements.

Abstract: Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner using multiple solver types. In one embodiment, an example method involves receiving a problem type of an input problem originating from a client computing entity, mapping the problem type to one or more selected solver types, generating one or more container instances of one or more compute containers with each compute container corresponding to a selected solver type, generating a problem output using the one or more container instances, and providing the problem output to the client computing entity, where the problem output includes an optimized solution to the input problem that can be used to perform one or more prediction-based actions.

Abstract: A data processing system includes a transaction bus, a console application in communication with the transaction bus, and a view predictor subsystem in communication with the transaction bus. The transaction bus receives, from a user application executing on a client device, a call for visual information to be provided to the user application. The view predictor subsystem determines a likelihood that the visual information will be viewable within a viewport of the user application, and a plurality of respective values for a plurality of sources of the visual information are computed based on the likelihood and a respective priority for each source. The console application provides to the transaction bus the set of potential sources of the visual information, and the transaction bus selects, based on the computed values, one of the potential sources of the visual information to be the result, which is provided to the user application.

Abstract: A management apparatus (10) includes: a storage (103) that stores information indicating a correspondence between at least one virtual network function (VNF) operating on a server and a programmable logic circuit (FPGA) capable of operating at least part of a virtual network function; and a controller (106) that causes first and second servers to perform migration of a virtual network function operating on a programmable logic circuit of the first server to the second server, on the basis of the correspondence information.

Abstract: A computer system configured to enable communication between two or more virtual platforms is disclosed. The computer system comprises a physical processor configured to run the two or more virtual platforms. The computer system further comprises a memory. The memory comprises one or more separate memory portions allocated to each of the two or more virtual platforms, wherein within at least one memory portion allocated to one of the virtual platform a predefined range of addresses is configured as a shared device memory, the shared device memory being accessible by all the virtual platforms. Firmware running on a first virtual platform is configured to transfer a data packet from the first virtual platform to one or more further virtual platforms via the shared device memory.

Abstract: Embodiments of apparatus, systems, and methods are described for creating and managing an abstract, API-based infrastructure base model. The API-based model can abstract infrastructure assets, such as infrastructure components or connections between components, into a metadata model using standardized syntax and interfaces, for defining and building an infrastructure. Using a modeling document, connections and components of an infrastructure can be abstracted into an API-based model having semantics that covers them all. Connections and infrastructure components can be made available for selection, arrangement, and grouping to build complex infrastructure models without requiring complex API coding by the user. Other infrastructure models having different API definitions can be by abstracted to standardize the assets for building new APIs. The APIs can be further modified and exported to another or the same implementation project.

Abstract: A cloud-based API metadata management method and system. The cloud-based API metadata management method includes the step of installing an API tool by loading the API tool stored in a database by an API tool installation unit of a cloud server, the step of defining a standard API by the API tool installation unit of the cloud server, and creating an API for each hospital server by an API creation unit, and the step of testing the created API for each hospital server by a test unit of the cloud server, correcting data if there is error data, and storing and distributing the data and API for each hospital server if there is no error data.

Abstract: A method for obfuscating an application programming interface (API) can include creating a polarization library. The library can include for each of a plurality of websites: website endpoints, corresponding website endpoint parameters, and an assigned industry category. An API structure of a root API to be obfuscated can be extracted, including root endpoints and corresponding root endpoint parameters. An industry category can be identified for the root API and a website is selected from the polarization library that is in an industry category that is distinct from the root API category. An obfuscator API is created with the extracted API structure using website endpoints and website endpoint parameters from the selected website that match the structure of the root API.

Abstract: A method for transferring content utilizing contextual positioning includes receiving a content selection for transferring from an originating device. The method also includes determining contextual positioning in a user interface of the originating device for each portion of the content selection, wherein the contextual positioning is based on the content selection and one or more objects in the user interface of the originating device. The method also includes sending, to a receiving device, each portion of the content selection with the determined contextual positioning in the user interface of the originating device. The method also includes placing, in the user interface of the receiving device, each portion of the content selection is based on the determined contextual positioning in the user interface of the originating device.

Abstract: A set of log entries associated with a memory sub-system is caused to be stored in a first log subject to a wrapping process. A summarized log entry representing data of a portion of the set of log entries matching a pattern is generated and caused to be stored in a second log not subject to the wrapping process, where the summarized log entry is preserved from deletion via the wrapping process of the first log. The set of log entries is deleted from the first log by executing the wrapping process.

Abstract: To synchronize operations of a computing system, a new type of synchronization barrier is disclosed. In one embodiment, the disclosed synchronization barrier provides for certain synchronization mechanisms such as, for example, “Arrive” and “Wait” to be split to allow for greater flexibility and efficiency in coordinating synchronization. In another embodiment, the disclosed synchronization barrier allows for hardware components such as, for example, dedicated copy or direct-memory-access (DMA) engines to be synchronized with software-based threads.

Abstract: A system receives a request for data stored in an OVSDB database server, wherein the request comprises a JSON RPC request. In response to the request, the system initiates a proxy session by: creating a first communication session between the requesting entity and a proxy daemon, wherein the request indicates a first version corresponding to the first communication session; and creating a second communication session between the proxy daemon and the database server, wherein the second communication session is associated with a second version corresponding to a model used by the database server. The system determines that the first version does not match the second version. The system extracts, from the request, a JSON RPC method and determines that the method requires translation. The system performs, based on the first and second version, translation of a payload of the request, and sends the translated payload to the database server.

Abstract: A distributed resource model is described that maintains traits of resources in a distributed computing system. The traits include properties, commands, and events that, along with protocols operating in the distributed computing system, provide real-time access to the traits of resources in the distributed computing system, as well as real-time command of controls for the resources. Controllers manage and publish the traits of resources and provide various types of functionality, such as arbitration, complexity management, fan-out of capabilities, coordination, adaptation, and resource proxying.

Abstract: Systems, apparatuses, and methods for managing buffers in a neural network implementation with heterogeneous memory are disclosed. A system includes a neural network coupled to a first memory and a second memory. The first memory is a relatively low-capacity, high-bandwidth memory while the second memory is a relatively high-capacity, low-bandwidth memory. During a forward propagation pass of the neural network, a run-time manager monitors the usage of the buffers for the various layers of the neural network. During a backward propagation pass of the neural network, the run-time manager determines how to move the buffers between the first and second memories based on the monitored buffer usage during the forward propagation pass. As a result, the run-time manager is able to reduce memory access latency for the layers of the neural network during the backward propagation pass.